| Text mining of industry 4.0 job advertisements M Pejic-Bach, T Bertoncel, M Meško, Ž Krstić International journal of information management 50, 416-431, 2020 | 280 | 2020 |
| Text mining for big data analysis in financial sector: A literature review M Pejić Bach, Ž Krstić, S Seljan, L Turulja Sustainability 11 (5), 1277, 2019 | 276* | 2019 |
| Big data and sentiment analysis using KNIME: Online reviews vs. social media A Minanovic, H Gabelica, Ž Krstić 2014 37th International Convention on Information and Communication …, 2014 | 47 | 2014 |
| Visualization of big data text analytics in financial industry: a case study of topic extraction for Italian banks Ž Krstić, S Seljan, J Zoroja ENTRENOVA-ENTerprise REsearch InNOVAtion 5 (1), 35-43, 2019 | 22 | 2019 |
| Big data text mining in the financial sector MP Bach, Ž Krstić, S Seljan Expert Systems in Finance, 80-96, 2019 | 17 | 2019 |
| Big data for prediction: patent analysis–patenting big data for prediction analysis M Pejic-Bach, J Pivar, Ž Krstić Big Data Governance and Perspectives in Knowledge Management, 218-240, 2019 | 13 | 2019 |
| Economic Theory and Artificial Intelligence: A Cross-model Perspective on Labour Market Dynamics Ž Krstić Croatian Regional Development Journal 5 (2), 52-75, 2024 | | 2024 |
| Grassroots campaign as a technique of indirect lobbying I Bilić, I Vuković, Ž Krstić Reconciling the Traditional and Contemporary, 221, 2009 | | 2009 |
Mirjana Pejic BachUniversity of Zagreb, Faculty of Economics and Business, Department of InformaticsE-mail confirmado em efzg.unizg.hr